Staff Software Engineer, Data Engineering Solutions

Stripe; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Stripe is seeking a seasoned Data Engineering Solutions leader in Bengaluru to drive a high‑impact data engineering program. You will lead a team of engineers, mentor talent, and deliver scalable data pipelines that power critical Stripe data products.

You will collaborate with product and engineering peers to build canonical datasets, ensure data trust, and explore AI‑driven data solutions at scale. The role demands strong engineering fundamentals and a passion for data in a fast‑growing

Qualifications

• 10+ years of engineering experience with 5+ years of hands‑on experience building and operating data systems and pipelines
• A strong engineering background and passion for data
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• Strong customer focus, with a commitment to partnering with Product Managers and other Stripe engineers
• Effective cross-functional collaboration and decision-making in ambiguous environments
• Thrive with high autonomy and responsibility in an ambiguous environment
• Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment

Responsibilities

• Lead the technical outcomes for a team of engineers, providing mentorship and guidance
• Partner with recruiting to attract and hire top talent
• Deliver data pipelines that scale to user needs with reliability and efficiency
• Develop subject matter expertise and manage SLAs of data pipelines and full‑stack apps
• Collaborate with product managers to create and improve canonical datasets and warehouses
• Leverage AI, LLM, and Agents to produce and analyze data
• Work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python
• Drive execution of key data initiatives from planning to delivery
• Foster a collaborative and inclusive team culture

Skills

Data engineering

Team leadership

Data pipelines

Airflow

Spark

Kafka

Flink

SQL

Scala/Java/Go

Distributed data frameworks

Tools

Airflow

Spark

Kafka

Flink

Trino

Pinot

Hive Metastore

AWS Cloud

Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

We’re experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We’re experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data.

What you'll do

We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

• Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
• Partner with our recruiting team to attract and hire top talent.
• Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency
• Develop strong subject matter expertise and manage the SLAs of data pipelines and full-stack web applications that support critical stakeholders
• Collaborate with product managers and peers across the company to create and improve canonical datasets and data warehouses, use golden paths, and ensure Stripe employees and customers are using trustworthy data
• Leverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problems
• Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologies
• Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 10+ years of engineering experience with 5+ years of hands‑on experience building and operating data systems and pipelines, datasets and data warehouses, infrastructure, and leading small teams to deliver excellent solutions
• A strong engineering background and passion for data
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep-rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• Strong customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade‑offs
• Thrive with high autonomy and responsibility in an ambiguous environment
• Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment

Preferred Qualifications

• Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributions
• Experience creating and maintaining Data Marts and Data Warehouses to power business reporting needs
• Experience working with Product or Go-to-Market (GTM-Sales and Marketing) teams
• Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide stakeholders

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

Company culture - diversity & inclusion

At Stripe, we look forward to hearing from you. At Stripe, we’re looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn’t precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren’t afraid to challenge assumptions. Join us.